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Send an email about this job to a friend or to yourself. Introduction This position will be based at Head Office in Woodmead. (Hybrid) Introduction This position will be based at Head Office in Woodmead. (Hybrid)Description The purpose of this role is to analyse, process, model and interpret the data to create actionable plans for the 13 operationa
Honours or Master’s degree (or equivalent) in Economics, Econometrics, Data Science, Statistics, Mathematical Statistics, Demography, or a related field. A minimum of two years of relevant work experience, particularly within development, consulting, or public sectors. Proficiency in advanced quantitative data analysis using statistical software su
Are you passionate about deriving insights from data and solving complex business problems? We're looking for a skilled Data Scientist to join our team. In this role, you'll have the opportunity to work on exciting projects, collaborate with a diverse team of professionals, and contribute to the success of our organization.
What you’ll do:Envir
At AKQA Performance we imaginatively apply art and science to create transformative experiences, accelerate growth and future-proof organisations. AKQA Performance designs every touchpoint along the customer journey with unmatched native ability to define, find, connect, and inspire audiences across all brand interactions. At AKQA, our Data Scienti
Location: ZA, GP, Johannesburg, Baker Street 30 Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena within Anti-Financial Crime. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning
Job Description To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advancedmathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy. Take all necessar
At AKQA Performance we imaginatively apply art and science to create transformative experiences, accelerate growth and future-proof organisations. AKQA Performance designs every touchpoint along the customer journey with unmatched native ability to define, find, connect, and inspire audiences across all brand interactions. At AKQA, our Data Scienti
Our Clientis a tech-focused business where the Tech Team sets the pace for the rest of the company.
The Data Scientist is responsible for analysing information and presenting insights that enables our client to work efficiently, effectively with minimal downtime and generate revenue.
This role is responsible for building customised solutions, such
Job Source: Huntwave Technologies
Data scientist
Roodepoort, Gauteng
R 300000 ZA Per annum
Business Segment: Insurance & Asset Management Location: ZA, GP, Roodepoort, Ellis Street 4 To support Pricing Head and COO with the following: Predicting Modelling: Identify and Assess service providers performance and efficiencies and recommend service providers’ management strategy solution. Driving efficiencies by developing and Implementing: 1)Dynamic write-off models, 2) Fraud Detection models, 3)Claimsfast tracking models, 4) Salvage and Recoveries models, 5)Develop and implement monitoring reports for the COO and other operational models. Qualifications 3-year BSc with Actuarial / Mathematics / Statistics majors Honours will be an added advantage Minimum 3 years of Data Analytics, Machine Learning Models modelling Minimum 3-5 years of financial service or analytics experience Advanced Experience in SAS, SQL, Python, R and Other general coding skills and will be advantages Experience of any visualisation platforms such Power BI, Qlik-view and other general platforms will be an advantage Knowledge of variety of machine learning techniques (Clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Additional Information Analytical thinking abilities Communication skills – excellent written, verbal and presentation skills Disciplined and have high level of integrity, professionalism, respect and Self-motivated and positive attitude Team player Business Acumen Understanding of short-insurance business principles. Data mining skills, data visualisation and interpretation Experience in machine learning algorithms Experience in pricing will be an advantage